Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add glebis/claude-skills --skill pdf-generationgit clone --depth 1 https://github.com/glebis/claude-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/glebis/claude-skills/pdf-generation)<a href="https://agentmods.dev/skills/glebis/claude-skills/pdf-generation"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/pdf-generation/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/glebis/claude-skills/pdf-generation"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/pdf-generation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.01365 |
| Opus 5 | $0.00043 | $0.00682 |
| Sonnet 5 | $0.00017 | $0.00273 |
| Haiku 4.5 | $0.00009 | $0.00136 |
Grade A, and why
pdf-generation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PDF Generation
Overview
Generate professional PDFs from markdown files using Pandoc with Eisvogel template styling. Supports English and Russian documents with customizable themes, table of contents, and professional typography including EB Garamond font for Russian text.
Quick Start
Basic commands:
# Desktop/Print PDF (A4 format)
pandoc doc.md -o doc.pdf --pdf-engine=xelatex --toc --toc-depth=2 -V geometry:margin=2.5cm -V fontsize=11pt -V documentclass=article
# Mobile-friendly PDF (6x9 phone screen optimized)
pandoc doc.md -o doc-mobile.pdf --pdf-engine=xelatex --toc --toc-depth=2 -V geometry:paperwidth=6in -V geometry:paperheight=9in -V geometry:margin=0.5in -V fontsize=10pt -V linestretch=1.2
# Russian PDF with EB Garamond
pandoc doc-ru.md -o doc.pdf --pdf-engine=xelatex --toc --toc-depth=2 -V geometry:margin=2.5cm -V fontsize=11pt -V documentclass=article -V mainfont="EB Garamond"
# Russian Mobile PDF
pandoc doc-ru.md -o doc-mobile.pdf --pdf-engine=xelatex --toc --toc-depth=2 -V geometry:paperwidth=6in -V geometry:paperheight=9in -V geometry:margin=0.5in -V fontsize=10pt -V linestretch=1.2 -V mainfont="EB Garamond"
Document Theme Colors
- White Papers - Blue (1e3a8a)
- Marketing - Green (059669)
- Research - Purple (7c3aed)
- Technical - Gray (374151)
YAML Frontmatter Example
---
title: "Document Title"
subtitle: "Subtitle"
author: "Author"
date: "2025-11-18"
titlepage: true
titlepage-color: "1e3a8a"
titlepage-text-color: "ffffff"
book: true
---
See references/frontmatter_templates.md for complete templates.
Markdown Formatting Best Practices
For optimal PDF rendering, ensure:
- Blank lines before lists - Required for proper list rendering
- Blank lines after headings - Improves spacing
- Nested list indentation - Use 3 spaces for sub-items
Common Claude Code Pattern
Lists after colons need blank lines:
Your data spans 9 years with complete tracking:
- Item 1
- Item 2
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 175 lines · 86 tokens per session scan A 8d2b510f5960
pdf-generation is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 8d ago), licensed MIT. It adds 86 tokens to every session and 1,365 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
pydicom
Use pydicom to read, inspect, write, transform, and safely preflight local DICOM datasets and pixel data. Applies to DICOM metadata, transfer syntaxes, compression plugins, frames, private elements, JSON, and bounded de-identification review.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.
skill-doc-delivery
Convert markdown to DOCX, PPTX, XLSX, PDF office documents — use when you need exportable deliverables.
pdf-extract-create-workflow
Complete PDF lifecycle: download, extract, and generate structured documents with reportlab.
document-direct-python
Use direct Python execution for reliable document creation including spreadsheets, PDFs, and structured reports.
parse-document
Convert a PDF, scan, image of a page, or office file to clean markdown through the connected Superlinked MCP edge, so the source document is not read into model context directly. Use when the user asks to read, parse, OCR, extract from, summarize, or answer questions about a document.